dimianmoni

MATLAB Code for Shape from Shading

Newton-Raphson method for all real roots of the polynomial

matlab cod for radar

说明：  灰色预测是就灰色系统所做的预测。所谓灰色系统是介于白色系统和黑箱系统之间的过渡系统。其具体的含义是:如果某一系统的全部信息已知为白色系统，全部信息未知为黑箱系统，部分信息已知，部分信息未知，那么这一系统就是灰色系统。(Grey prediction is the prediction of grey system. The so-called grey system is a transitional system between the white system and the black box system. Its concrete meaning is: if all information of a system is known as a white system, all information is unknown as a black box system, some information is known, and some information is unknown, then this system is a grey system.)

对仿真信号进行小波分解，进行小波阈值降噪处理(Wavelet Denoise)

语音信号的采集与处理，数字信号处理课设，数据模型归一化，模态振动，仿真效率很高的。( Acquisition and Processing of the speech signal, digital signal processing class-based, Normalized data model, modal vibration, High simulation efficiency.)

这是一个利用MATLAB遗传算法工具箱进行求函数最值的实际程序文档，对数学建摸及从事算法研究的人员具有很好的参考价值(This is a genetic algorithms using MATLAB toolbox function for the most value for the actual process documentation, mathematical modeling and algorithm engaged in the research staff has a good reference value)

地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值 方法特点：1 针对性强，主要去除随机噪音；2 随机噪音识别能力强，达到了较高的去噪水平；3 具有自适应性，能根据不同位置的不同特点统计识别噪音；4 振幅保真，对有效信号的保护性好；5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。 应用对比：为了展示本模块的去噪效果，所选取的对比对象是某知名成熟商业软件的分频去噪模块，其去噪效果在当前诸多成熟软件模块中是佼佼者，在地震资料处理界具有很好的口碑。 通过对比，说明本模块：1 针对性强，主要去除随机噪音和异常振幅等。2 随机噪音识别能力强，达到了较高的去噪水平。3 具有自适应性，能根据不同位置的不同特点统计识别噪音。4 振幅保真，对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。(Frequency-dependent noise attenuation seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results . Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation. By contrast, the description of the module : a targeted, mai)

动态多群粒子群算法，能够快速的搜寻目标，增强了局部搜索能力(Dynamic multi-swarm particle swarm algorithm can quickly search target, and enhance the local search ability)

说明：  灰狼优化算法和粒子群算法性能比较，附加灰狼算法介绍的PDF(Performance Comparison between Grey Wolf Optimization Algorithm and Particle Swarm Optimization Algorithm)